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6. AI Agents
Section
Date and time
On clarification
Venue
Tomsk, National Research Tomsk State University
Participation Format
in-person, online
Section organizers
AI agents—systems capable of autonomous perception, decision-making, and action to achieve set objectives—are becoming a pivotal direction in AI development. These intelligent entities promise to fundamentally transform human interaction with the digital world by automating complex multi-step tasks, serving as personalized assistants, and revolutionizing business processes across industries. The potential of AI agents is vast, ranging from logistics and production optimization to advanced interfaces and new forms of collaboration. However, their increasing autonomy and learning capabilities raise critical concerns regarding safety, accountability, ethical dilemmas, and the need for robust control mechanisms.
Section Overview
The Section will explore current advancements, promising applications, architectural approaches, as well as risks and ethical considerations associated with the development and use of autonomous intelligent systems.
Discussion
Technological foundations for creating AI agents: large language models, reinforcement learning, multi-agent systems
Applied aspects of AI agents: from personal assistants to industrial control systems and scientific research
Human-AI agent interaction: interfaces, trust, collaboration, and control
Ethical dilemmas and accountability in the use of autonomous AI agents
Security, reliability, and predictability of AI agent behavior
Prospects for the development of AI agents and their impact on society, the economy, and daily life
Approaches to regulation and standardization in AI agent development and deployment
Registration deadline is September 18
All registered conference speakers must submit their abstracts to GAI@spa.msu.ru by September 12, 2025. Presentation time is limited to 10 minutes.

When submitting the abstracts, the conference section name must be indicated in the subject of the e-mail.
Registration for the conference
Moderators
  • Vyacheslav Leonidovich Goiko
    Director General of the University Consortium of Big Data Researchers Association
Contacts for communication
goiko@data.tsu.ru
Section Coordinator
Vyacheslav Leonidovich Goiko, Director General of the University Consortium of Big Data Researchers Association
Answers to frequently asked questions
The conference is intended for researchers, teachers, representatives of business and government agencies, as well as anyone interested in the impact of generative AI on modern industries. Participation will be especially useful for those who want to understand the practical application of technologies, their regulation and ethical aspects.
Documents
School of Public Administration MSU
International Scientific and Practical Conference Generative Artificial Intelligence in Economic and Social Sectors: Pro&Contra 2025
GAI:PRO&CONTRA